近日，OpenAI 联合创始人、前特斯拉人工智能和视觉总监 Andrej Karpathy 在一篇题为“Self-driving as a case study for AGI”的博客文章中，以自动驾驶为例，探讨了人工智能通用型智能（AGI）的未来发展。Karpathy 认为，自动驾驶能力方面的发展是研究 AGI 的一个很好的早期案例研究。
首先，Karpathy 指出， Copilot 和 GPT-4 等技术代表了“二级”编程自动化。这种自动化技术有望改变软件开发的方式，提高开发效率。然而，他也警告称，AGI 的普及和应用将受到“需求超过供应”的限制。这一限制主要源于开发者的自我限制、监管限制，以及 GPU 数据中心等硬件资源短缺。
此外，Karpathy 认为，在更广泛的工作领域中，许多工作将发生变化，一些工作会消失，但也会出现许多新的工作机会。这更多的是工作的重构而不是直接删除。他强调，我们需要关注自动驾驶等技术对社会和经济的影响，以便更好地规划未来。
综上所述，自动驾驶作为 AGI 研究的一个重要领域，将为未来智能发展提供有力支撑。然而，在推广应用过程中，我们还需关注资源供应、监管政策等方面的限制。此外，面对未来工作领域的变革，我们应该关注技能培训和人才培养，以适应新的就业形势。
英文翻译：
News Title: OpenAI Co-founder interprets autonomous driving and AGI
Keywords: Autonomous driving, AGI, Future development
News Content:
Recently, OpenAI co-founder and former Tesla artificial intelligence and visual director Andrej Karpathy discussed the future development of artificial general intelligence (AGI) in a blog post titled “Self-driving as a case study for AGI”. Karpathy believes that the development of autonomous driving capabilities is a good early case study for AGI.
Firstly, Karpathy points out that technologies such as Copilot and GPT-4 represent “secondary” programming automation. This automation technology is expected to change the way software is developed, improving efficiency. However, he also warns that the popularization and application of AGI will be limited by “demand exceeding supply”. This constraint mainly comes from self-imposed limitations of developers, regulatory limitations, and hardware resource shortages such as GPU data centers.
In addition, Karpathy believes that in broader job fields, many jobs will change, some will disappear, but many new job opportunities will also emerge. This is more about the reconstruction of jobs rather than direct elimination. He emphasizes that we need to pay attention to the impact of technologies such as autonomous driving on society and the economy to better plan for the future.
In conclusion, autonomous driving serves as an important field for AGI research and will provide strong support for future intelligence development. However, in the process of promotion and application, we also need to pay attention to limitations such as resource supply and regulatory policies. In addition, facing the future changes in the job market, we should focus on skill training and talent cultivation to adapt to the new employment situation.
【来源】https://mp.weixin.qq.com/s/nfBwnGgTIj8SVO_N7zoesQ
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